A comparison of receiver-initiated and sender-initiated adaptive load sharing (extended abstract)
SIGMETRICS '85 Proceedings of the 1985 ACM SIGMETRICS conference on Measurement and modeling of computer systems
Adaptive precision setting for cached approximate values
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Network Management: An Introduction to Principles and Practice
Network Management: An Introduction to Principles and Practice
Adaptive Push-Pull: Disseminating Dynamic Web Data
IEEE Transactions on Computers
An XML-Based Dynamic Network Management System Using Web Technology
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
Low-cost data communication network for rural telecom network management
International Journal of Network Management
A-GAP: An Adaptive Protocol for Continuous Network Monitoring with Accuracy Objectives
IEEE Transactions on Network and Service Management
Decentralized service-level monitoring using network threshold crossing alerts
IEEE Communications Magazine
Key research challenges in network management
IEEE Communications Magazine
Exploiting agent mobility for large-scale network monitoring
IEEE Network: The Magazine of Global Internetworking
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One of the important functions of a network management system (NMS) is performance management (PM). PM deals with collecting statistical information to track the effectiveness and utilization of the network and network elements (NE). While this may be done offline, it is often necessary to monitor the network statistics online in real time. The aim of real-time monitoring is to achieve high accuracy of the statistics while minimizing the use of scarce network bandwidth. The accuracy objective can vary depending on the priority and dynamic severity state of the NE. We define cost, which needs to be optimized, as a function of network traffic and achieved accuracy. Based on the cost, a comparison of push and pull data collection alternatives is done. We have developed a push-based distributed data collection system that tunes the accuracy objectives, based on the network traffic and the dynamic severity state of the NE.